Triple
T24633350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juventus Youth Sector |
E609737
|
entity |
| Predicate | leagueLevelRange |
P50168
|
FINISHED |
| Object | youth levels from under-7 to under-19 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: youth levels from under-7 to under-19 | Statement: [Juventus Youth Sector, leagueLevelRange, youth levels from under-7 to under-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueLevelRange Context triple: [Juventus Youth Sector, leagueLevelRange, youth levels from under-7 to under-19]
-
A.
associatedLeagueLevel
chosen
Indicates that one entity is linked to another entity representing the competitive tier or level of a sports league.
-
B.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
C.
yLevelRange
Indicates that one entity’s vertical position or height falls within a specified range relative to another entity or reference level.
-
D.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
-
E.
eligibleLeague
Indicates that an entity (such as a team or player) is qualified or permitted to participate in a particular league.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.